{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5abeda86",
   "metadata": {},
   "source": [
    "# 投票分类器"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c31b785d",
   "metadata": {},
   "source": [
    "## 建立数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bafcd8ad",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:08.070687Z",
     "start_time": "2022-01-15T04:36:07.225375Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x, y = make_moons(n_samples=500, noise=0.30, random_state=42)\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, random_state=42)\n",
    "\n",
    "def plot_dataset(X, y, axes):\n",
    "    plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"bs\")\n",
    "    plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"g^\")\n",
    "    plt.axis(axes)\n",
    "    plt.grid(True, which='both')\n",
    "    plt.xlabel(r\"$x_1$\", fontsize=20)\n",
    "    plt.ylabel(r\"$x_2$\", fontsize=20, rotation=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "23b282fe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:08.418578Z",
     "start_time": "2022-01-15T04:36:08.072238Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dataset(x, y, [-1.5, 2.5, -1, 1.5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "622782bd",
   "metadata": {},
   "source": [
    "## 集成算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e5d047d4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:08.639767Z",
     "start_time": "2022-01-15T04:36:08.420354Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VotingClassifier(estimators=[('lr', LogisticRegression()),\n",
       "                             ('rf', RandomForestClassifier()), ('svc', SVC())])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import VotingClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "log_clf = LogisticRegression()\n",
    "rnd_clf = RandomForestClassifier()\n",
    "svm_clf = SVC()\n",
    "\n",
    "voting_clf = VotingClassifier(\n",
    "    estimators=[('lr', log_clf), ('rf', rnd_clf), ('svc', svm_clf)],\n",
    "    voting='hard')  # 硬投票法，软投票用'soft'\n",
    "voting_clf.fit(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a88e843",
   "metadata": {},
   "source": [
    "如果采用软投票（通过概率判断），还需设置SVC的超参数probability=True，但会减慢训练速度\n",
    "```\n",
    "svm_clf = SVC(probability=True)\n",
    "\n",
    "voting_clf = VotingClassifier(\n",
    "    estimators=[('lr', log_clf), ('rf', rnd_clf), ('svc', svm_clf)],\n",
    "    voting='soft')  # 软投票\n",
    "voting_clf.fit(x, y)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "45710736",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:08.941959Z",
     "start_time": "2022-01-15T04:36:08.641760Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogisticRegression 0.864\n",
      "RandomForestClassifier 0.896\n",
      "SVC 0.896\n",
      "VotingClassifier 0.904\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "for clf in (log_clf, rnd_clf, svm_clf, voting_clf):\n",
    "    clf.fit(x_train, y_train)\n",
    "    y_pred = clf.predict(x_test)\n",
    "    print(clf.__class__.__name__, accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be7ce68b",
   "metadata": {},
   "source": [
    "投票分类器略胜于所有单个分类器"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2354241b",
   "metadata": {},
   "source": [
    "# bagging和pasting（自助法）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0160fa3",
   "metadata": {},
   "source": [
    "```\n",
    "bagging 是 bootstrap aggregating 的缩写，为有放回抽样（自举法），pasting为不放回抽样\n",
    "即用多个模型在训练集抽样并训练，各自得出预测结果，再综合预测得出最终结果\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "852c62b6",
   "metadata": {},
   "source": [
    "## BaggingClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "24d1a895",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:11.364486Z",
     "start_time": "2022-01-15T04:36:08.942956Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import BaggingClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "bag_clf = BaggingClassifier(\n",
    "    DecisionTreeClassifier(), n_estimators=500,  # 包含500个决策树\n",
    "    max_samples=100, bootstrap=True, n_jobs=-1)  # 每次随机采样100个训练实例进行训练然后放回（不放回用bootstrap=False）\n",
    "# n_jobs指示用多少CPU内核进行训练和预测（-1表示可用全部内核）\n",
    "bag_clf.fit(x_train, y_train)\n",
    "y_pred = bag_clf.predict(x_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9516696e",
   "metadata": {},
   "source": [
    "## 包外评估（oob）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79d09341",
   "metadata": {},
   "source": [
    "对于一个大小为S的样本，在S次抽样中，一个个体从未被抽到的概率是$(1-S^{-1})^S$， S趋于无穷时，概率为$e^{-1}=0.368$，因此大约有三分之一的数据不会被抽到，该部分数据称为$oob$，可以作为测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8bbd08da",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:11.727953Z",
     "start_time": "2022-01-15T04:36:11.365484Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8986666666666666"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_clf = BaggingClassifier(\n",
    "    DecisionTreeClassifier(), n_estimators=500, \n",
    "    bootstrap=True, n_jobs=-1, oob_score=True)\n",
    "\n",
    "bag_clf.fit(x_train, y_train)\n",
    "bag_clf.oob_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "90365ae1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:11.853629Z",
     "start_time": "2022-01-15T04:36:11.728911Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.92"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "y_pred = bag_clf.predict(x_test)\n",
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46ea2dd8",
   "metadata": {},
   "source": [
    "可见在训练集和预测集分数差不多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d80cd16c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:11.869536Z",
     "start_time": "2022-01-15T04:36:11.855575Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.36046512, 0.63953488],\n",
       "       [0.34319527, 0.65680473],\n",
       "       [1.        , 0.        ],\n",
       "       [0.        , 1.        ],\n",
       "       [0.        , 1.        ],\n",
       "       [0.08510638, 0.91489362],\n",
       "       [0.34554974, 0.65445026],\n",
       "       [0.005     , 0.995     ],\n",
       "       [0.97752809, 0.02247191],\n",
       "       [0.97382199, 0.02617801]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_clf.oob_decision_function_[:10, :]  # 查看概率  索引顺序为 行 列"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5193f3d",
   "metadata": {},
   "source": [
    "# 随机补丁和随机子空间"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "093a461d",
   "metadata": {},
   "source": [
    "```\n",
    "超参数max_feartures和bootstrap_features控制对特征进行采样，即保留全部实例而抽样特征\n",
    "max_feartures=False, bootstrap_features=1.0 为随机补丁\n",
    "max_feartures=Ture, bootstrap_features<1.0 为随机子空间法\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a99bca89",
   "metadata": {},
   "source": [
    "# 随机森林"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "26d90afc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:11.997472Z",
     "start_time": "2022-01-15T04:36:11.870532Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "rnd_cld = RandomForestClassifier(n_estimators=500, max_leaf_nodes=16, n_jobs=-1)\n",
    "# 500棵决策树，最大叶子节点16，全部CPU可用\n",
    "rnd_clf.fit(x_train, y_train)\n",
    "\n",
    "y_pred_rf = rnd_clf.predict(x_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d63c809",
   "metadata": {},
   "source": [
    "以下用`BaggingClassifier()`实现的随机森林与`RandomForestClassifier()`大致相同"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ac3c81a3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:12.013150Z",
     "start_time": "2022-01-15T04:36:11.999189Z"
    }
   },
   "outputs": [],
   "source": [
    "bag_clf = BaggingClassifier(\n",
    "    DecisionTreeClassifier(splitter='random', max_leaf_nodes=16),\n",
    "    n_estimators=500, max_samples=1.0, bootstrap=True, n_jobs=-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a44342ad",
   "metadata": {},
   "source": [
    "## 极端随机树"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ee8c498",
   "metadata": {},
   "source": [
    "`ExtraTreesClassifier()`可以创建一个极端随机树分类器，同理也有`ExtraTreesRegressior`\n",
    "\n",
    "他们的效果好坏很难预先得知，只能通过尝试两种方法并且比较"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff1e1f99",
   "metadata": {},
   "source": [
    "## 特征重要性"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a086858d",
   "metadata": {},
   "source": [
    "随机森林便于快速了解哪些特征是真正重要的，`.feature_importances_`输出特征重要性\n",
    "\n",
    "> Sklearn所有算法都可以输出特征重要性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cf8710e4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:12.645464Z",
     "start_time": "2022-01-15T04:36:12.014149Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sepal length (cm) 0.09528555263213345\n",
      "sepal width (cm) 0.022293624775266047\n",
      "petal length (cm) 0.4542113889692266\n",
      "petal width (cm) 0.4282094336233738\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "iris = load_iris()\n",
    "rnd_clf = RandomForestClassifier(n_estimators=500, n_jobs=-1)\n",
    "rnd_clf.fit(iris['data'], iris['target'])\n",
    "for name, socre in zip(iris['feature_names'], rnd_clf.feature_importances_):\n",
    "    print(name, socre)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2190371c",
   "metadata": {},
   "source": [
    "花瓣长度44%，花瓣宽度42%，而花萼长度相对不太重要"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "417fc349",
   "metadata": {},
   "source": [
    "# 提升法（boosting）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dedee017",
   "metadata": {},
   "source": [
    "将几个弱机器学习器结合成一个强学习器的任意集成方法，循环训练预测器，每一次都对其前序做出一些改正（更改实例和各模型权重），目前流行的方法是AdaBoost和梯度提升法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a6c8195",
   "metadata": {},
   "source": [
    "## AdaBoost"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a71b0b2",
   "metadata": {},
   "source": [
    "调整预测其权重和实例权重"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a240582e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:12.868974Z",
     "start_time": "2022-01-15T04:36:12.647457Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=1),\n",
       "                   learning_rate=0.5, n_estimators=200)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "\n",
    "ada_clf = AdaBoostClassifier(\n",
    "    DecisionTreeClassifier(max_depth=1), n_estimators=200,\n",
    "    algorithm='SAMME.R', learning_rate=0.5)\n",
    "ada_clf.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cbf3759",
   "metadata": {},
   "source": [
    "SAMME 基于多类指数损失函数的逐步添加模拟器\n",
    "\n",
    "SAMME.R 改为依赖概率\n",
    "\n",
    "200个决策树\n",
    "\n",
    "学习率0.5\n",
    "\n",
    "每个决策树深度为1，即只有一个根节点和两个叶节点\n",
    "\n",
    "> 如果过拟合，可以减少估算器数量，或提高估算器正则化程度"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e0deab7",
   "metadata": {},
   "source": [
    "## 梯度提升"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "917a6c27",
   "metadata": {},
   "source": [
    "梯度树提升（DBRT）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f7ef8876",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:34.610334Z",
     "start_time": "2022-01-15T04:36:34.593340Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "np.random.seed(42)\n",
    "x = np.random.rand(100, 1) - 0.5\n",
    "y = 3 * x[:, 0]**2 + 0.05 * np.random.randn(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dca42323",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:35.130904Z",
     "start_time": "2022-01-15T04:36:35.028846Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c02850af",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T04:36:35.399833Z",
     "start_time": "2022-01-15T04:36:35.390875Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GradientBoostingRegressor(learning_rate=1.0, max_depth=2, n_estimators=3)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "gbrt = GradientBoostingRegressor(max_depth=2, n_estimators=3, learning_rate=1.0)\n",
    "gbrt.fit(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00927a6d",
   "metadata": {},
   "source": [
    "### 提前停止"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0564f82",
   "metadata": {},
   "source": [
    "```\n",
    "使用staged_predict()方法，在训练的每个阶段都对集成的预测返回一个迭代器，通过测量每个训练阶段的验证误差，从而找到树的最优数量，最后使用最优树重新训练了一个GBRT集成\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5e65f422",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T05:14:07.786984Z",
     "start_time": "2022-01-15T05:14:07.726128Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GradientBoostingRegressor(max_depth=2, n_estimators=55)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "训练完毕再找最小值\n",
    "'''\n",
    "\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "x_train, x_val, y_train, y_val = train_test_split(x, y)\n",
    "gbrt = GradientBoostingRegressor(max_depth=2, n_estimators=120)\n",
    "gbrt.fit(x_train, y_train)\n",
    "\n",
    "errors = [mean_squared_error(y_val, y_pred) for y_pred in gbrt.staged_predict(x_val)]\n",
    "best_n_estimators = np.argmin(errors) + 1 \n",
    "# np.argmin(errors) 返回使得errors最小的下标，加一就是迭代器的次序，次序等于树的棵树\n",
    "\n",
    "gbrt_best = GradientBoostingRegressor(max_depth=2, n_estimators=best_n_estimators)\n",
    "gbrt_best.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a46cff4f",
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    "ExecuteTime": {
     "end_time": "2022-01-15T05:14:08.103140Z",
     "start_time": "2022-01-15T05:14:07.962517Z"
    }
   },
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      "text/plain": [
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     },
     "metadata": {
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     "output_type": "display_data"
    }
   ],
   "source": [
    "%config InlineBackend.figure_format = 'svg'\n",
    "plt.plot(range(len(errors)), errors, 'k-')\n",
    "plt.plot([best_n_estimators, best_n_estimators], [0, 0.05], 'r:')\n",
    "plt.plot([0, 120], [min(errors), min(errors)], 'r:')\n",
    "plt.axis([20,100,0,0.01])\n",
    "plt.ylabel('errors',fontsize='15')\n",
    "plt.xlabel('trees',fontsize='15')\n",
    "plt.text(55, 0.0045, '最小值对应 53', fontsize='14')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "935d64df",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T05:14:13.134254Z",
     "start_time": "2022-01-15T05:14:13.076006Z"
    }
   },
   "outputs": [],
   "source": [
    "'''\n",
    "训练中途停止\n",
    "'''\n",
    "\n",
    "gbrt = GradientBoostingRegressor(max_depth=2, warm_start=True)\n",
    "\n",
    "min_val_error = float('inf')\n",
    "\n",
    "error_going_up = 0\n",
    "for n_estimators in range(1, 120):\n",
    "    gbrt.n_estimators = n_estimators  # 逐步增加树\n",
    "    gbrt.fit(x_train, y_train)  # 训练\n",
    "    y_pred = gbrt.predict(x_val)  # 预测\n",
    "    val_error = mean_squared_error(y_val, y_pred)  # 在验证集的方差\n",
    "    if val_error < min_val_error:  # 【迭代技巧】\n",
    "        min_val_error = val_error  # 初次必赋值\n",
    "        error_going_up = 0\n",
    "    else:\n",
    "        error_going_up += 1  # 如果方差开始比之前的最小方差大，记录\n",
    "        if error_going_up == 5:  # 累计5次方差大于最小方差，停止\n",
    "            break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "91799bd2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T05:14:52.031913Z",
     "start_time": "2022-01-15T05:14:52.014993Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.0028880339072789264"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(gbrt.n_estimators)\n",
    "min_val_error"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a862dbe",
   "metadata": {},
   "source": [
    "### xgboost"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afa06c89",
   "metadata": {},
   "source": [
    "梯度提升的优化实现，速度极快，可拓展、可移植"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "9d4fceb3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T05:51:01.586883Z",
     "start_time": "2022-01-15T05:51:01.531034Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\tvalidation_0-rmse:0.23062\n",
      "[1]\tvalidation_0-rmse:0.16798\n",
      "[2]\tvalidation_0-rmse:0.12682\n",
      "[3]\tvalidation_0-rmse:0.10052\n",
      "[4]\tvalidation_0-rmse:0.08173\n",
      "[5]\tvalidation_0-rmse:0.07026\n",
      "[6]\tvalidation_0-rmse:0.06325\n",
      "[7]\tvalidation_0-rmse:0.05850\n",
      "[8]\tvalidation_0-rmse:0.05610\n",
      "[9]\tvalidation_0-rmse:0.05535\n",
      "[10]\tvalidation_0-rmse:0.05510\n",
      "[11]\tvalidation_0-rmse:0.05484\n",
      "[12]\tvalidation_0-rmse:0.05479\n",
      "[13]\tvalidation_0-rmse:0.05478\n",
      "[14]\tvalidation_0-rmse:0.05497\n",
      "Validation MSE: 0.003000639757780763\n"
     ]
    }
   ],
   "source": [
    "import xgboost\n",
    "xgb_reg = xgboost.XGBRegressor()\n",
    "xgb_reg.fit(x_train, y_train, eval_set=[(x_val, y_val)], early_stopping_rounds=2)\n",
    "# 设置验证集和停止轮数\n",
    "y_pred = xgb_reg.predict(x_val)\n",
    "val_error = mean_squared_error(y_val, y_pred)\n",
    "print(\"Validation MSE:\", val_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "ed1671e9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T05:51:03.760114Z",
     "start_time": "2022-01-15T05:51:03.745116Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.6091189  0.58107835 0.1013177  0.05621726 0.33195662]\n",
      "[0.55450101 0.60427162 0.15534206 0.12900698 0.40747292]\n"
     ]
    }
   ],
   "source": [
    "print(y_pred[:5])\n",
    "print(y_val[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "b92867ba",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T05:51:04.174013Z",
     "start_time": "2022-01-15T05:51:03.995449Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "Q 3484 2219 3484 1541 \r\n",
       "Q 3484 831 3051 375 \r\n",
       "Q 2619 -81 1947 -81 \r\n",
       "Q 1209 -81 789 495 \r\n",
       "Q 369 1072 369 2131 \r\n",
       "Q 369 3413 920 4167 \r\n",
       "Q 1472 4922 2372 4922 \r\n",
       "Q 2888 4922 3181 4781 \r\n",
       "L 3181 4219 \r\n",
       "z\r\n",
       "M 1031 1584 \r\n",
       "Q 1031 1106 1286 765 \r\n",
       "Q 1541 425 1963 425 \r\n",
       "Q 2363 425 2613 719 \r\n",
       "Q 2863 1013 2863 1475 \r\n",
       "Q 2863 1975 2627 2253 \r\n",
       "Q 2391 2531 1956 2531 \r\n",
       "Q 1544 2531 1287 2250 \r\n",
       "Q 1031 1969 1031 1584 \r\n",
       "z\r\n",
       "\" id=\"MicrosoftYaHei-36\" transform=\"scale(0.015625)\"/>\r\n",
       "       </defs>\r\n",
       "       <use xlink:href=\"#MicrosoftYaHei-30\"/>\r\n",
       "       <use x=\"58.642578\" xlink:href=\"#MicrosoftYaHei-2e\"/>\r\n",
       "       <use x=\"82.714844\" xlink:href=\"#MicrosoftYaHei-36\"/>\r\n",
       "      </g>\r\n",
       "     </g>\r\n",
       "    </g>\r\n",
       "    <g id=\"ytick_8\">\r\n",
       "     <g id=\"line2d_13\">\r\n",
       "      <g>\r\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.335938\" xlink:href=\"#mafb544a406\" y=\"31.81027\"/>\r\n",
       "      </g>\r\n",
       "     </g>\r\n",
       "     <g id=\"text_13\">\r\n",
       "      <!-- 0.7 -->\r\n",
       "      <g transform=\"translate(7.2 35.807145)scale(0.1 -0.1)\">\r\n",
       "       <defs>\r\n",
       "        <path d=\"M 3422 4463 \r\n",
       "Q 2659 3131 2223 1998 \r\n",
       "Q 1788 866 1684 0 \r\n",
       "L 1047 0 \r\n",
       "Q 1163 853 1594 1947 \r\n",
       "Q 2025 3041 2747 4300 \r\n",
       "L 347 4300 \r\n",
       "L 347 4841 \r\n",
       "L 3422 4841 \r\n",
       "L 3422 4463 \r\n",
       "z\r\n",
       "\" id=\"MicrosoftYaHei-37\" transform=\"scale(0.015625)\"/>\r\n",
       "       </defs>\r\n",
       "       <use xlink:href=\"#MicrosoftYaHei-30\"/>\r\n",
       "       <use x=\"58.642578\" xlink:href=\"#MicrosoftYaHei-2e\"/>\r\n",
       "       <use x=\"82.714844\" xlink:href=\"#MicrosoftYaHei-37\"/>\r\n",
       "      </g>\r\n",
       "     </g>\r\n",
       "    </g>\r\n",
       "   </g>\r\n",
       "   <g id=\"patch_3\">\r\n",
       "    <path d=\"M 28.335938 224.64 \r\n",
       "L 28.335938 7.2 \r\n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n",
       "   </g>\r\n",
       "   <g id=\"patch_4\">\r\n",
       "    <path d=\"M 363.135938 224.64 \r\n",
       "L 363.135938 7.2 \r\n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n",
       "   </g>\r\n",
       "   <g id=\"patch_5\">\r\n",
       "    <path d=\"M 28.335938 224.64 \r\n",
       "L 363.135938 224.64 \r\n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n",
       "   </g>\r\n",
       "   <g id=\"patch_6\">\r\n",
       "    <path d=\"M 28.335938 7.2 \r\n",
       "L 363.135938 7.2 \r\n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n",
       "   </g>\r\n",
       "  </g>\r\n",
       " </g>\r\n",
       " <defs>\r\n",
       "  <clipPath id=\"p7d2ec18ab1\">\r\n",
       "   <rect height=\"217.44\" width=\"334.8\" x=\"28.335938\" y=\"7.2\"/>\r\n",
       "  </clipPath>\r\n",
       " </defs>\r\n",
       "</svg>\r\n"
      ],
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_val, y_val)\n",
    "plt.scatter(np.linspace(-0.5, 0.5, 100), xgb_reg.predict(np.linspace(-0.5, 0.5, 100)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d9ab0c1",
   "metadata": {},
   "source": [
    "# 堆叠法（stacking）"
   ]
  },
  {
   "attachments": {
    "image.png": {
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    }
   },
   "cell_type": "markdown",
   "id": "0b0bf288",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01bab5bd",
   "metadata": {},
   "source": [
    "## 不同分类器一次性堆叠"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "496d947a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T06:16:34.487830Z",
     "start_time": "2022-01-15T06:16:34.474867Z"
    }
   },
   "outputs": [],
   "source": [
    "#-*- coding:utf-8 -*-\n",
    "'''\n",
    "Stacking方法\n",
    "'''\n",
    "from sklearn.datasets import load_iris\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn import model_selection\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.naive_bayes import GaussianNB \n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from mlxtend.classifier import StackingClassifier\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import classification_report\n",
    "import warnings; warnings.filterwarnings(action='ignore')\n",
    "\n",
    "#========================================================\n",
    "#  载入iris数据集\n",
    "#========================================================\n",
    "\n",
    "iris = load_iris()\n",
    "X = iris.data[:,:5]\n",
    "y = iris.target\n",
    "\n",
    "#========================================================\n",
    "#  实现Stacking集成\n",
    "#========================================================\n",
    "\n",
    "def StackingMethod(X, y):\n",
    "    '''\n",
    "    Stacking方法实现分类\n",
    "    INPUT -> 特征, 分类标签\n",
    "    '''\n",
    "    scaler = StandardScaler() # 标准化转换\n",
    "    scaler.fit(X)  # 训练标准化对象\n",
    "    traffic_feature= scaler.transform(X)   # 转换数据集\n",
    "    feature_train, feature_test, target_train, target_test = \\\n",
    "                model_selection.train_test_split(X, y, test_size=0.3, random_state=0)\n",
    "\n",
    "    clf1 = LogisticRegression(random_state=1)\n",
    "    clf2 = RandomForestClassifier(random_state=1)\n",
    "    clf3 = GaussianNB()\n",
    "\n",
    "    sclf = StackingClassifier(classifiers=[clf1, clf2, clf3],\n",
    "                              # use_probas=True, 类别概率值作为meta-classfier的输入\n",
    "                              # average_probas=False,  是否对每一个类别产生的概率值做平均\n",
    "                              meta_classifier=LogisticRegression())  # 综合预测模型\n",
    "\n",
    "    sclf.fit(feature_train, target_train)\n",
    "\n",
    "    # 模型测试\n",
    "    predict_results = sclf.predict(feature_test)\n",
    "    print(accuracy_score(predict_results, target_test))\n",
    "    conf_mat = confusion_matrix(target_test, predict_results)\n",
    "    print(conf_mat)\n",
    "    print(classification_report(target_test, predict_results))\n",
    "\n",
    "    # 5折交叉验证\n",
    "    for clf, label in zip([clf1, clf2, clf3, sclf], ['Logistic Regression', 'Random Forest', 'naive Bayes', 'StackingModel']):\n",
    "        scores = model_selection.cross_val_score(clf, X, y, cv=5, scoring='accuracy')\n",
    "        print(\"Accuracy: %0.2f (+/- %0.2f) [%s]\" % (scores.mean(), scores.std(), label))\n",
    "\n",
    "    return sclf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fd4cd54",
   "metadata": {},
   "source": [
    "## 分特征堆叠"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "43936453",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T06:18:55.353956Z",
     "start_time": "2022-01-15T06:18:55.337982Z"
    }
   },
   "outputs": [],
   "source": [
    "def StackingMethod(X, y):\n",
    "    '''\n",
    "    Stacking方法实现分类\n",
    "    INPUT -> 特征, 分类标签\n",
    "    '''\n",
    "    scaler = StandardScaler() # 标准化转换\n",
    "    scaler.fit(X)  # 训练标准化对象\n",
    "    traffic_feature= scaler.transform(X)   # 转换数据集\n",
    "    feature_train, feature_test, target_train, target_test = model_selection.train_test_split(X, y, test_size=0.3, random_state=0)\n",
    "\n",
    "    pipe1 = make_pipeline(ColumnSelector(cols=(0, 1)),   # 前两个特征用一种分类器\n",
    "                          LogisticRegression())\n",
    "    pipe2 = make_pipeline(ColumnSelector(cols=(2, 3, 4)),  # 后两个特征用另一个分类器\n",
    "                          LogisticRegression())\n",
    "\n",
    "    sclf = StackingClassifier(classifiers=[pipe1, pipe2],\n",
    "                              meta_classifier=LogisticRegression())\n",
    "\n",
    "    sclf.fit(feature_train, target_train)\n",
    "\n",
    "    # 模型测试\n",
    "    predict_results = sclf.predict(feature_test)\n",
    "    print(accuracy_score(predict_results, target_test))\n",
    "    conf_mat = confusion_matrix(target_test, predict_results)\n",
    "    print(conf_mat)\n",
    "    print(classification_report(target_test, predict_results))\n",
    "\n",
    "    return sclf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "08ed880c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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 },
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 "nbformat_minor": 5
}
